Senior Backend Engineer

Mondia GroupCairogulftalentveröffentlicht 08.07.2026
Muss:PythonJavaNode.jsGitAWSDockerCloudBackendDevOpsQA/TestAgileScrumCI/CDMicroservicesAISecurityPrincipal

Job purpose

Designs, builds, and operates production-grade Java microservices on Spring Boot. Owns the full delivery lifecycle: API design, data modelling, messaging, observability, CI/CD, and on-call support. Collaborates closely with product, QA, and SRE teams to deliver reliable, scalable services. Provides architectural guidance, makes key technical decisions, and mentors other developers. The role involves ensuring best practices, optimizing performance, and aligning technical solutions with business goals while building secure, high-performing distributed systems.

Roles and responsibilities

Design and implement high-performance, scalable microservices using Java 17+ and Spring Boot

Own end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specifications

Architect microservices following bounded contexts, saga patterns, and proper service decomposition

Enforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediation

Integrate and manage event-driven systems using Apache Kafka

Optimize application performance through JVM tuning, caching strategies, profiling, and latency reduction

Optimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysis

Manage and optimize scalable distributed systems in the cloud (AWS)

Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions)

Utilize scripting languages (Python, Node.js) for tooling, automation, and auxiliary services

Participate in on-call rotations and production incident resolution

Conduct code reviews and mentor less-experienced engineers

Communicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmap

Leverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows

Drive automation using AI across the software lifecycle — design, development, testing, support, log analysis, and ticket summarization

Produce quality code, raising the bar for team performance and speed

Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks

Requirements

Required skills and qualifications

Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var)

Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties)

Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS)

Strong microservices architecture experience (bounded contexts, sagas, decomposition)

Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management)

Solid understanding of concurrency and threading (Executors, CompletableFuture, locking)

Experience with event-driven architectures using Apache Kafka

Performance optimization skills (JVM tuning, caching, profiling, latency reduction)

Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage)

Growth mindset that challenges the status quo and focuses on continuous improvement

Technical competencies/skills

Core: Java 17+, Spring Boot, Spring Data JPA, Spring Security

API: RESTful APIs, OpenAPI/Swagger, API versioning and integration patterns

Messaging: Apache Kafka (producers, consumers, schema registry)

Data: PostgreSQL, SQL (indexing, EXPLAIN plans, migrations)

Caching: Redis (cache-aside, TTL, invalidation) — nice to have

Resilience: Resilience4j, circuit breakers, retries, fallbacks, bulkheads

DevOps: Docker (multi-stage builds)

CI/CD: GitLab CI (pipeline-as-code, security scans)

Cloud: AWS or other cloud platforms (compute, IAM, networking, secrets management)

Testing: JUnit 5, Mockito (unit tests, slice tests, parameterized tests)

Observability: Prometheus, Grafana, OpenTelemetry, structured logging

AI tools: GitHub Copilot, Amazon Q, prompt engineering, LLM API integration, AI-augmented testing

Strong analytical and problem-solving aptitude

Education

BS in Engineering or Computer Science

Experience

At least 5+ years of professional experience building backend services in Java

Proven track record designing and operating production microservices at scale

Experience with distributed systems, eventual consistency, and fault tolerance

Experience with Agile/Scrum practices (sprint planning, estimation, retrospectives)

Licenses and certifications

AWS or cloud platform certification (preferred, not mandatory)

Benefits

Social insurance

Health insurance for employee and family

The company will contribute up to EUR 25 per month towards staff perks

Benefit from our performance-based bonus scheme, in line with company policy

EUR equivalent salaries paid in EGP